In response to the characteristics of a large number of small infrastructure project review, wide professional involvement, and strong review timeliness, this paper proposes a design scheme for a digital review system...
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Message passing algorithms (MPAs) have been widely investigated in massive multiple-input multiple-output (MIMO) detectors due to their low complexity and guaranteed performance. Meanwhile, deep learning (DL) has been...
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The Web today has millions of datasets, and the number of datasets continues to grow at a rapid pace. These datasets are not standalone entities;rather, they are intricately connected through complex relationships. se...
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student-built space missions offer prospects to commence small space missions with small financial budgets. The significant outcome along with technical intrinsic worth is the cross-disciplinary training for students ...
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In this paper, we discuss the use of Automated Machine learning for the first time applied to an Ex-ante Life Cycle Assessment. This kind of analysis has been conducted for a particular crop production, i.e. barley. T...
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Objective and Impact *** tumors from normal tissues is vital in the intraoperative diagnosis and pathological *** this work,we propose to utilize Raman spectroscopy as a novel modality in surgery to detect colorectal ...
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Objective and Impact *** tumors from normal tissues is vital in the intraoperative diagnosis and pathological *** this work,we propose to utilize Raman spectroscopy as a novel modality in surgery to detect colorectal cancer *** spectra can reflect the substance components of the target ***,the feature peak isslight and hard to detect due to environmental *** a high-quality Raman spectroscopy dataset and developing effective deep learning detection methods are possibly viable ***,we collect a large Raman spectroscopy dataset from 26 colorectal cancer patients with the Raman shift ranging from 385 to 1545 cm^(−1).second,a one-dimensional residual convolutional neural network(1D-ResNet)architecture is designed to classify the tumor tissues of colorectal ***,we visualize and interpret the fingerprint peaks found by our deep learning *** resultsshow that our deep learning method achieves 98.5%accuracy in the detection of colorectal cancer and outperforms traditional ***,Raman spectra are a novel modality for clinical detection of colorectal *** proposed ensemble 1D-ResNet could effectively classify the Raman spectra obtained from colorectal tumor tissues or normal tissues.
Many extensive UAV communication networks have used UAV cooperative *** networking services can be offered using unmanned aerial vehicles(UAVs)as aerial base *** only is coverage maximization,but also better connectiv...
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Many extensive UAV communication networks have used UAV cooperative *** networking services can be offered using unmanned aerial vehicles(UAVs)as aerial base *** only is coverage maximization,but also better connectivity,a fundamental design challenge that must be *** number of applications for unmanned aerial vehicles(UAVs)operating in unlicensed bands is fast expanding as the Internet of Things(IoT)*** bands,however,have become overcrowded as the number of systems that use them *** Radio(CR)and spectrum allocation approaches have emerged as a potential approach for resolving spectrum scarcity in wireless networks,and hence as technological solutions for future generations,from this *** a result,combining CR with UAVs has the potential to give significant benefits for large-scale UAV *** paper examines existing research on the subject of UAV covering and proposes a multi-UAV cognitive-based error-free model for energy-efficient *** maximization,power control,and enhanced connection quality are the three steps of the proposed *** satisfy the desired signal-to-noise ratio,the covering zone efficacy is investigated as a function of the distance among UAVsstationed in a specific geographic region depending on multiple deployment configurations like as rural,suburban,and urban macro deployment scenarios of the ITU-R M.2135 standard(sNR).
Fiber Bragg grating (FBG) sensors are widely used in the field of transmission line ice monitoring, but the cross-sensitivity of temperature and stressseriously affects their measurement accuracy. To address this pro...
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In order to solve the huge modal difference between visible and infrared images in cross-modality person re-identification, a cross-modality person re-identification network based on dual attention mechanism and multi...
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The research aims to develop and optimize a deep learning model for faster inference using multi-task learning for embedded systems. Experiments using face photos and sound in the form of a spectrogram were prepared t...
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